This research project aims to explore the utilization of fractal geometry in the fields of image compression and data encryption. By employing fractal algorithms, the study seeks to enhance the efficiency of image compression techniques…
Read MoreThis project thesis focuses on utilizing differential equations to model population dynamics, such as growth, distribution, and interactions. By analyzing historical data and trends, the aim is to develop predictive models that can forecast future…
Read MoreThis project aims to explore the potential of deep learning algorithms in solving partial differential equations (PDEs), a fundamental problem in various scientific and engineering fields. By using neural networks, the study seeks to develop…
Read MoreThe project thesis investigates the use of bifurcation theory in mathematical modeling and analysis of nonlinear systems. By studying how systems behave as parameters change, the thesis aims to deepen our understanding of complex systems…
Read MoreThis project aims to develop an algorithm that enhances the accuracy and efficiency of solving numerical integration problems by implementing the trapezoidal rule and Simpson's rule. By combining these two methods, the algorithm will provide…
Read MoreThis project thesis explores the use of machine learning algorithms to predict stock market trends and optimize investment portfolios. It involves a mathematical analysis of various machine learning models and their effectiveness in forecasting stock…
Read MoreThe project thesis aims to explore the utilization of machine learning algorithms to predict stock market trends through the use of mathematical models and data analysis. By combining advanced data analysis techniques with powerful machine…
Read MoreLinear programming is a mathematical technique used to optimize complex systems by identifying the best possible outcome. This project focuses on the applications of linear programming in supply chain management to optimize resource allocation efficiently.…
Read MoreThis project thesis focuses on the application of machine learning techniques to predict stock prices through time series analysis. Through the use of historical stock data, various machine learning algorithms will be applied to develop…
Read MoreThis project thesis delves into exploring how machine learning algorithms can be applied to solve optimization problems in mathematics. By leveraging the power of artificial intelligence, the study aims to investigate the efficiency and effectiveness…
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